布基纳法索与尼日尔对比

布基纳法索与尼日尔:35 °C 以上天数

2014 年35 °C 以上天数:布基纳法索为 177.4 天,尼日尔为 209.1 天(CMIP6 气候模型中位数模拟)。 2014 年尼日尔的数值较高,高出 31.7 天,是布基纳法索的 1.18 倍。

每年天数 · CMIP6

布基纳法索与尼日尔:35 °C 以上天数2014 年35 °C 以上天数:布基纳法索为 177.4 天,尼日尔为 209.1 天(CMIP6 气候模型中位数模拟)。 2014 年尼日尔的数值较高,高出 31.7 天,是布基纳法索的 1.18 倍。
布基纳法索尼日尔CMIP6 模型中位数(SSP2-4.5,中间路径)模型第 10–90 百分位

数据解读

  • 自 1950 年以来,在两国都有数据的每一年,尼日尔的数值都更高。
  • 根据CMIP6 模型中位数(SSP2-4.5,中间路径),2100 年布基纳法索为 245.7 天,尼日尔为 242.2 天。

逐年数据

每年天数 · CMIP6

年份布基纳法索尼日尔
2014177.4209.1
2013171.9205.4
2012170.9206
2011170.8207.1
2010166.4205.9
2009165.1204.2
2008164.2204.4
2007163.3201.3
2006162.7198.7
2005162.9200.6
2004170.8199.3
2003165.6201.3
2002163.8202.4
2001170.1201.1
2000162.9197.9
1999157.3196.9
1998155.2192.7
1997161.5197.8
1996152.4194.5
1995150.5193.7
1994142.5193.1
1993137.5186.1
1992137.6187.1
1991151.5195.9
1990157.8192.7
1989151.7192.9
1988150.2190.4
1987151.1190.2
1986154.4196.3
1985145.5189.1
1984148189.6
1983148.1189.7
1982147.5187.5
1981149.6190.9
1980154.6191.8
1979152.1189.1
1978146.1186.3
1977149.6190.8
1976142.3189.5
1975140.2185
1974140.2184.8
1973150.1192.4
1972144.8189.8
1971141.7186.7
1970145.9188.9
1969147.9184.3
1968140.2188.6
1967141183.6
1966138.2185.4
1965142185.7
1964127.3181.4
1963132.5179.4
1962145189
1961150186.5
1960151.8194.1
1959146.2190.2
1958150.3186.8
1957152.8194
1956141.2188.3
1955143.7188.8
1954150.6189
1953153.5188.3
1952145.7188.4
1951151.2190.5
1950144.8189.6
CMIP6 模型中位数(SSP2-4.5,中间路径) · 2015–2100
年份布基纳法索尼日尔
2015171.8138.5–202.8205.1180.6–228.1
2016167138.6–189.8204.2180.2–222.1
2017173136.2–207.5210.9185.3–233.6
2018167.9137.3–197.7206183.2–227.4
2019175.4136.6–201.5206.7178.9–231.2
2020174.1132.8–206.2207.9183.1–226.7
2021173.4149–204209189.8–228
2022179.9147.4–206.6213190.1–231
2023175.9143.4–203.4207186.6–229.1
2024185.5154.5–217.4216.5197.3–234.6
2025180.8148.5–207.8214.6195.3–232
2026184.8125.9–213.3210.3178.5–235.6
2027185.6144.6–214.2216.5188.8–235.6
2028189.4147.6–221.4217188.5–233.4
2029188.6155.5–213.2218.1194.8–237.8
2030188.2153.3–224.2217.1191.5–237
2031190.7158.2–220215195.1–239.7
2032189.7144.5–222.8213.2192.1–232
2033190.6150.8–223.1217.2196.1–237
2034182.7151.2–226.6216.7191–240
2035195.9147–222.6219.7195.8–235.8
2036191.3152.7–227.7216.2196–236.1
2037198.5161.4–227.4222.3199.9–240.2
2038200.4157.8–231.7219.5198.9–243.8
2039191.9165.2–229.3218.3195.6–242.5
2040199.4166.4–229.5218.7200.4–240.1
2041202.3167.7–230.7222.2200.4–245
2042201.6158.8–230.6222201.7–244.6
2043196171.6–228220.5198.6–236.4
2044204.2159.8–236.6218.2198.9–241.6
2045205.6165.3–232.4222202–242
2046206.7168.7–236.9225.1198–243
2047212.3165.8–237.4229.1204.3–245.7
2048209.2175.1–235.8225.8200.7–247.3
2049202.6175.1–236.6222.4197.3–242.8
2050205.7170.1–250.8224.7203.3–246.8
2051206173.1–245.1224.6203.8–242.1
2052216167.4–251.3229.7204.6–252.7
2053209.8164.8–248225.2204.6–248.6
2054216175.1–253.5229199.7–252.3
2055212.6179.6–249.1230.7210.5–249.6
2056217.5177.9–254.9229.8199.3–254.5
2057225.7184.4–260.6231.1205.6–251.8
2058218.7182–255.8226.7203.5–249.9
2059217.4186.9–255.5233.3210.7–256
2060217.2181.4–253.1230.9206.7–251.3
2061223182.6–263.1232.3207.4–256.9
2062217.6182–260.7233211.8–254.7
2063223.4187.5–260228.8206.1–248.5
2064224.2183–252.2232.3207.9–252.9
2065225.1190.1–255.2233.4211.8–253.6
2066227.3190.1–263.3236.5212.7–261.5
2067219.3187.3–256.8229.1206.5–253.3
2068224.6179.7–260233.9210.6–259.9
2069219.3179–264.3233.2210.6–253.7
2070224.3183.9–265.6235.8209.1–254.8
2071226.6183.6–266.4237.9218.7–258.9
2072229.4193.4–265.8237.9218–259.8
2073230194.7–270.6235.1210–259.4
2074224.9185–275.2235.2212.8–261.3
2075238.9189.1–262.1239.3212.9–259.7
2076231.6194.9–271.7238.9215.3–262.6
2077241.9190.8–279.1242218.1–264
2078234.6189.9–278.6241.4216.1–262.3
2079230.6194.9–269.2235.6213.1–259.6
2080239.5189.7–275.3238.2215.8–263.6
2081234.4190–280.1240.1217.1–267.5
2082230197.6–277.7238215.5–261.3
2083236.9200.8–270242.5216.2–264
2084232.8200.8–273.8239.2214.3–261.4
2085244.3201.6–278.9241.7216.6–264.8
2086236.6192.9–281.6240.9220–270.6
2087236.3186.9–275.1236.9208.4–262.9
2088233.1189.9–280.9236.9216.5–271.3
2089229.4191.6–282.5242.4215.5–267.5
2090238.6197.4–278.1242.1213.6–262.2
2091241.2205.8–274.6241.3218.9–266.5
2092247.9196–276.6245217.6–266.3
2093243195.2–289.1242.2219.3–262.9
2094245.7207.9–277.4245.1220.3–263.4
2095250.4189.1–284.6244.1218.8–266.6
2096238.4206.4–283.7241.9225.1–264.5
2097231.9194–278.5241.4218–265.6
2098240.9202.3–274.2240.8215.3–263.5
2099244.4202.7–283.6247.1221.7–265.4
2100245.7203.3–288.4242.2221.3–266.4

分别查看各国

须知

  • 一年中最高气温超过 35 °C 的天数,取全国平均。
  • 来源:World Bank Climate Change Knowledge Portal, CMIP6 multi-model median。
  • 虚线为CMIP6 模型中位数(SSP2-4.5,中间路径),是一种情景而非预报;阴影带为其模型第 10–90 百分位。
  • 气候模型值为 CMIP6 各模型的中位数:2014 年及以前按历史排放模拟,此后按中间路径 SSP2-4.5 模拟;它们并非实测数据。

各图层如何运作、数据从何而来,以及它们无法告诉你什么: 历年各国数据

布基纳法索与尼日尔对比

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